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Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer: Scalable Pipelines & AI Workflows
Architect and maintain scalable data pipelines and cloud infrastructure to power analytics and AI-driven workflows using Snowflake, AWS Redshift, and Athena.
Data Engineer
Build and optimize AWS-based data pipelines and Redshift warehouses for a government project, using Python, SQL, and DevOps practices to ensure secure, scalable data infrastructure.
Data Engineer
Designs and builds ETL/ELT pipelines and data warehouses in Snowflake, Redshift, and open-source tools, using Python, SQL, and dbt.
Data Engineer (AWS Glue, redshift, python , AI) - 10k
Build and optimize cloud-native data pipelines and analytics infrastructure using AWS Glue, Redshift, and Python, while integrating AI-driven language model applications.
Senior / Data Engineer (AGC)
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Data Engineer (GeBIZ X)
Build and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while driving AI-enabled analytics and ensuring data governance.
HR Data Engineering & Analytics Manager
Build and own a new HR data warehouse, then transition into analytics to help HR teams make data-driven workforce decisions using SQL, Python, and cloud pipelines.
Senior AWS Data Engineer - AI & Analytics
Designs, builds, and maintains scalable AWS data pipelines using S3, Glue, Redshift, SQL, and Python for analytics and AI workloads.
Data Engineer
Lead a team of data engineers to design, optimize, and maintain AWS-based data platforms (S3, Glue, Snowflake) and Airflow workflows, ensuring stability, security, and alignment with data strategy.
Head, AI Data Solutioning, AI Data Engineering, xData
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Data Engineer (Data Platform) - Singapore
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Senior Data Engineer (AI)
Design and maintain scalable data pipelines and lakehouse architectures to power AI models and analytics dashboards, using AWS, Databricks, and Snowflake.
Senior Data Engineer: Enterprise Data & AI Pipelines
Designs, builds, and optimizes scalable data pipelines and platforms using SQL, Python, Spark, Airflow, dbt, and AWS services to support analytics and AI initiatives.
Snowflake Data Engineer for AI-Driven Warehousing
Design and maintain ETL/ELT pipelines and data warehouses using Snowflake, Redshift, and dbt to power analytics and AI-driven insights.
Senior Associate/Assistant Vice President, AI Data Engineer
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Data Engineer
Designs and maintains ETL pipelines, data warehouses, and BI dashboards to deliver clean, reliable data for business decisions.
Data Engineer for AI‑Driven Public Platforms
Design and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while integrating AI/ML capabilities to drive insights and decision-making for public officers and suppliers.
Cloud Data Engineer
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
Data Engineer: Build Scalable AWS Pipelines
Designs and builds scalable AWS data pipelines using Glue, Redshift, and S3, implementing ETL/ELT workflows and optimizing for performance and reliability.